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Proceedings Paper

Ex vivo viscoelastic characterization of head and neck tissue abnormalities using ultrasound-stimulated vibro-acoustography (USVA)
Author(s): Ashkan Maccabi; James Garritano; Armin Arshi; George Saddik; Bobby A. Tajudeen; Maie St. John; Warren S. Grundfest; Zachary D. Taylor
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Paper Abstract

In the absence of an imaging technique that offers a highly dynamic range detection of malignant tissue intra-operatively, surgeons are often forced to excise excess healthy tissue to ensure clear margins of resection. Techniques that are currently used in the detection of tumor regions include palpation, optical coherence tomography (OCT) elastography, dye injections, and conventional ultrasound to pinpoint the affected area. However, these methods suffer from limitations such as minimal specificity, low contrast, and limited depth of penetration. Lack of specificity and low contrast result in the production of vague disease margins and fail to provide a reliable guidance tool for surgeons. The proposed work presents an alternative diagnostic technique, ultrasound-stimulated vibro-acoustography (USVA), which may potentially provide surgeons with detailed intra-operative imagery characterized by enhanced structural boundaries and well-defined borders based on the viscoelastic properties of tissues. We demonstrate selective imaging using ex vivo tissue samples of head and neck squamous cell carcinoma (HNSCC) with the presence of both malignant and normal areas. Spatially resolved maps of varying acoustic properties were generated and show good contrast between the areas of interest. While the results are promising, determining the precision and sensitivity of the USVA imaging system in identifying boundary regions as well as intensities of ex vivo tissue targets may provide additional information to non-invasively assess confined regions of diseased tissues from healthy areas.

Paper Details

Date Published: 20 March 2014
PDF: 5 pages
Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 904006 (20 March 2014); doi: 10.1117/12.2043691
Show Author Affiliations
Ashkan Maccabi, Univ. of California, Los Angeles (United States)
James Garritano, Univ. of California, Los Angeles (United States)
Armin Arshi, Univ. of California, Los Angeles (United States)
David Geffen School of Medicine (United States)
George Saddik, Univ. of California, Los Angeles (United States)
Bobby A. Tajudeen, David Geffen School of Medicine (United States)
Maie St. John, Univ. of California, Los Angeles (United States)
David Geffen School of Medicine (United States)
Warren S. Grundfest, Univ. of California, Los Angeles (United States)
David Geffen School of Medicine (United States)
Zachary D. Taylor, Univ. of California, Los Angeles (United States)
David Geffen School of Medicine (United States)


Published in SPIE Proceedings Vol. 9040:
Medical Imaging 2014: Ultrasonic Imaging and Tomography
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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